- Artificial intelligence is changing fashion: Shopping becomes more individual and intuitive
- The focus is on voice assistants and apps
- With AI technologies, manufacturers benefit from better predictability in terms of supply and demand
Artificial intelligence trends are reaching the fashion cosmos
AI stands for “Artificial Intelligence”Artificial intelligence”, And includes machine learning and the automation of intelligent behavior. That makes AI one of the most important - and perhaps even the most important - topics of the hour. Hardly any industry can get past AI technologies, not even this one Fashion industry.
Advantages of artificial intelligence in the fashion industry
- Increase the user experience
- Increased production efficiency
- Automation along production, sales and logistics
- Intelligent forecasts
“Alexa, what shoes go with this dress?”
More and more manufacturers are relying on artificial intelligence (AI), for example, to make the shopping experience of Online buyers to improve. Classic example: interfaces to digital assistants such as Google Home or Amazon Alexa. Instead of shopping in apps and on websites, potential buyers talk to their digital assistants. They ask the customer a series of questions and send them a selection of suitable products. This makes shopping more intuitive and more individual.
Image source & copyright by Syte.ai
But conventional online shopping is also being improved by technologies for AI fashion. For example, if you want to imitate the look of a well-known personality, take a photo or a screenshot of it. Then similar looking clothes, shoes and accessories are displayed in the app. With this artificial intelligence for fashion, the customer can strike directly.
Fashion, lifestyle, food: AI offers predictability for manufacturers
For manufacturers in the fashion segment, artificial intelligence offers the opportunity to perfectly match supply and demand. So far, retailers have estimated the sales figures for a year based on the previous year. Clear that this leaves room for calculation errors: sales figures are not always so predictable. A single post from an influencer can skyrocket demand for a particular product. With the help of AI technology, which determines demand numbers in real time, production bottlenecks can be avoided and forecast errors reduced by up to 50 percent.
